Data Engineer in London

Data Engineer at Genomics

Location: London or Oxford

The Mission: Why We Exist

Genomics is a science-led transatlantic TechBio combining large-scale genetic and health data with proprietary analytics to accelerate drug discovery and advance predictive, preventative healthcare. We are united by a single vision to help people live longer healthier lives, using the power of genomics.

Genomics aims to help people live longer, healthier lives in two ways: super-charging drug discovery and development for novel treatments with our AI-enabled advanced genetic analytics platform, and by helping people understand their personal risk of common chronic diseases through polygenic risk scores – giving doctors and health systems the chance to get the right people into the right prevention, screening and treatment programmes at the right time.

Role Purpose:

As a Data Engineer at Genomics, you\’ll play a key role in delivering high-quality, trusted, and timely genomic data that powers cutting-edge scientific and healthcare insights. You\’ll focus on data transformation, harmonisation, and quality control, while contributing to continuous improvements in our tools, workflows, and data ecosystem. Your work will directly enable scientists to accelerate discoveries and deliver better outcomes for patients.

A Day in the Life:

• Configure, ingest and quality-check large-scale genetic and genomic datasets ensuring high-quality, timely data delivery that meet the needs of our internal scientists and external customers.

• Collaborate with software engineers and developers to optimise and automate ingestion and QC workflows.

• Influence quality control standards and requirements, shaping improvements to data pipelines and tooling.

• Design and manage approved data releases, working closely with science teams to ensure data accuracy and impact.

• Contribute to ongoing projects that enhance our data infrastructure, adding value across our internal and external data ecosystem.

Key Focus Areas:

• Strong understanding of human genetics, genetic variation, and GWAS methodology.

• Proven ability to manage and process large-scale genomic or phenotypic datasets.

• Hands-on experience with Python and Unix shell scripting.

• Ability to problem-solve complex scientific or data-related challenges.

• Excellent communication and collaboration skills, able to balance independent work and teamwork effectively.

• PhD in a relevant genomic discipline or equivalent professional experience.

• Familiarity with omics technologies and quality control methods.

• Experience working in a biotech, health tech, or other data-rich scientific environment.

• An interest in improving how genomic data translates into real-world health outcomes.

Core Technologies:

• Languages: Python (primary), Bash

• Cloud & Infrastructure: AWS, Linux

• Data: PostgreSQL, Spark/Databricks (advantageous)

• Version Control & Collaboration: Git, Jira

The Team

You\’ll join a collaborative and mission-driven Data Engineering team that works closely with scientists, analysts, and software engineers to turn complex genomic data into actionable insights. Working together to ensure the accuracy, quality, and impact of the data that drives Genomics forward.

Your Package

We are committed to providing a transparent, supportive, and rewarding work environment.

Compensation & Growth

• Competitive Salary: Salaries are externally benchmarked annually to ensure top-of-market compensation.

• Clear Career Path: A straightforward, open progression framework means you\’ll always know the path to promotion and how to achieve your next career goal.

• Continuous Learning: Including external courses and a wide library of L&D materials, because your growth is our success.

Wellbeing & Time Off

• Holiday: 25 days annual leave, plus